Fable 5 vs. GPT-5.6 on an NP-Hard Problem: Does /goal Help?

Charles Azam tested Fable 5 and GPT-5.6 on an NP-hard problem, a type of extremely difficult puzzle that even supercomputers struggle with. He found that both models performed significantly better when given a specific /goal directive to work toward, rather than just being asked to solve the problem. This suggests that framing tasks clearly for AI can make a big difference in how well they perform.

This matters because it shows how we can get more out of AI tools we already use. If you're trying to solve a tough problem with AI, giving it a clear, step-by-step goal might help it find a better solution faster. It's like the difference between asking someone to 'clean the house' versus asking them to 'vacuum the living room, then dust the shelves.'

If you use AI tools like ChatGPT or Claude, try giving them a very specific goal next time you ask for help. For example, instead of saying 'Help me write an email,' try 'Write a professional email to my boss asking for a meeting about project X.' You might be surprised by how much more precise the result is. Full breakdown → https://www.ainformed.dev